Detection and Removal of Impulsive Colored Noise for Speech Enhancement
Speech enhancement aims at denoising noisy speech signal and to extract the clean speech. In this work, impulsive colored noise is regarded. The detail coefficient from discrete wavelet transform is used to analyze the distribution of impulsive colored noise in time domain. The energy of impulsive colored noise in different frequency bands can be used to find thresholds for wavelet thresholding techniques. The efficiency of the algorithm is evaluated.
Zhiyong He Xuhong Guo Maoqing Zhang
School of Mechanical and Electrical Engineering,Soochow University Suzhou,Jiangsu,215021,P. R. China
国际会议
2010 IEEE信息与自动化国际会议(ICIA 2010)
哈尔滨
英文
1-5
2010-06-20(万方平台首次上网日期,不代表论文的发表时间)